This paper proposes a new algorithm based on the multiple minimum model.
基于该多支持度的模型提出了一种新的数据采集算法。
Predictive filtering based on minimum model error is introduced to realize real time identification of unknown perturbations and conquer influence of model error.
引入基于模型误差最小准则的预测滤波算法,实现对未知扰动的实时辨识与估计,克服模型误差影响。
Considering the character of vector observation, a real time predictive filter based on minimum model error (MME) criterion is presented for satellite attitude estimation.
结合矢量观测的特点,基于最小模型误差准则给出了一种确定卫星姿态的实时估计算法,称为预测滤波算法。
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